Free AI Tool for Agents Navigation: Free Download
![Free AI Tool for Agents Navigation: Free Download ad-mania](https://fbxworld.com/wp-content/uploads/2024/07/1-859x639.png)
Unity 3D -AI Tool for Agents Navigation Free Download
This Asset is paid , but now you can download Agents Navigation for FREE, This package is provided only for learning purposes or to be able to test before buying the product, NOT FOR COMMERCIAL PURPOSES.
View Detail This Asset From Unity Store
![Free AI Tool for Agents Navigation: Free Download](https://fbxworld.com/wp-content/uploads/2024/07/1-1024x576.png)
Description:
This package includes high-performance, modular and scalable agent navigation. It is developed with DOTS in mind. As a result, it leverages the latest Unity technology stack, such as SIMD math, tasks, the Burst compiler, and the EntityComponentSystem. Additionally, there is hybrid mode support to allow use with GameObjects in object-oriented programming.
Pillars of this package:
Seamless Unity Integration: Harmoniously integrates with existing Unity technology and supports both mono and dots.
Intuitive and simplified user interface: Offers a clean and simple user experience tailored to perfectly align with Unity.
Optimized performance out of the box: Ensures high performance out of the box through parallelized and optimized code.
It uses a multi-layered API that facilitates low-level interactions.
Clear Code Architecture: Follows clean coding practices with clear architecture.
Scalable and Modular Codebase: Built with scalability and modularity in mind, allowing for easy extension with minimal package changes.
What navigation features does this package include?
Unity NavMesh multithreaded 3D support
Avoiding 2D/3D
Flocking (alignment, cohesion) 3D
2D/3D division
2D/3D collision
Extension:
A* Pathfinding Project 5.0.8 (Preview)
Agent Navigation – Crowds
Can I use this in code outside of ECS/Dots?
Yes, there is a hybrid workflow where game objects are synchronized with entities. This makes it possible to use this package also in object-oriented programming. Of course, the performance can be expected to be slightly worse.
Can I use it with ECS?
Yes, this package uses ECS.
What game genres does this navigation target?
This package has been developed as a foundation for any navigation needs. However, this early version is currently focused on 3D/2D RTS, Moba, RPG, shooter style genre navigation.
Can I extend the functionality?
Yes, the deck was designed with the ability to expand as each game has unique needs for AI navigation. This solution is very modular and allows for trivial addition/removal of existing behaviors. However, you will need knowledge of ECS to effectively extend the functionality.
Can I use this package with other pathing solutions (A* Pathfinding Project Pro, AnyPath, etc.)?
The solution in this package is very modular, so users can extend it with different solutions without having to modify this package. It currently has an integration with the A* Pathfinding Project ready.
Is it deterministic?
All systems are running on a fixed update. In theory, it should be deterministic for Intel/AMD (Burst) platforms. However, it still uses floats for navigation operations, which do not produce deterministic code across all platforms. In the future, I plan to address this by introducing fixed point types.
How does this package differ from Local Avoidance?
This is a new version of local avoidance. It’s a separate pack because it includes much more scope than just dodging, but full navigation (etc. global paths, waypoints, collisions…). For those with the Local Avoidance package, they can do a paid upgrade instead of paying full price.
Being a huge fan of Diablo 2, I made a small prototype ARPG heavily based on it. Since it uses my agent navigation package, it serves as a nice example of how this package can enable a real game project. For those interested, here is the link!
Discord support, forums, documentation
Review of Turbo Makes Games (sales information is out of date)
Demonstration of Inferno, mass conflict, afraid of the fog
Addictions
Minimum unity 2022.3
Community entities